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The understanding of a chemical component’s mechanism of action and side effects, as well as drug discovery and systems biology, depend on the prediction of compound-target interaction. So, this web tool publishes some newly developed target-centric models employing different types of molecular descriptions and machine learning algorithms. Additionally, a consensus strategy based on these models is also published as a potential advancement above individual forecasts.